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 Cheboksary


Ukraine says missiles hit military plant deep inside Russia

BBC News

Ukrainian forces have carried out a missile attack deep inside Russia, hitting a major military plant overnight, President Volodymyr Zelensky has said. He said FP-5 Flamingo cruise missiles struck the drone and missile plant in the city of Cheboksary, in the Chuvash Republic, more than 900km (560 miles) from the front line. Local officials said three people were injured in a missile attack on the city. Ukraine also said it had hit the Moscow-occupied port of Mariupol on the Sea of Azov, a Russian oil refinery in Samara and a shadow fleet oil tanker in the Black Sea. In recent months, Ukraine's military has intensified its drone strikes on key facilities across Russia.


Russia says talks to end Ukraine war 'serious' but rules out concessions

Al Jazeera

What is in the 28-point US plan for Ukraine? Why is Europe opposing Trump's peace plan? Is the fall of Pokrovsk inevitable? 'A corruption scandal may well end the Ukraine war' Russia says talks to end Ukraine war'serious' but rules out concessions Russia says the United States-brokered talks to end the war with Ukraine are "serious", but its officials caution that an agreement is a long way off and Moscow would offer no major concessions to Kyiv. Kremlin spokesman Dmitry Peskov said in televised comments on Wednesday that the negotiations were ongoing and "the process is serious."


Neural Network Compression for Reinforcement Learning Tasks

arXiv.org Artificial Intelligence

In the last decade, neural networks (NNs) have driven significant progress across various fields, notably in deep reinforcement learning, highlighted by studies like [1, 2, 3]. This progress has the potential to make changes in many areas such as embedded devices, IoT and Robotics. Although modern Deep Learning models have demonstrated impressive gains in accuracy, their large sizes pose limits to their practical use in many real-world applications [4]. These applications may impose requirements in energy consumption, inference latency, inference throughput, memory footprint, real-time inference and hardware costs. Numerous studies have attempted to make neural networks more efficient.


Wagner convict fighters recount horror, thrill of Ukraine war

Al Jazeera

In October last year, a Russian news site published a short video of Yevgeny Prigozhin, founder of the Wagner Group, the Russian mercenary army, sitting with four men on a rooftop terrace in the resort town of Gelendzhik, on Russia's Black Sea coast. Two are missing parts of a leg. A third lost an arm. They are identified as pardoned former convicts, returned from the front in Ukraine after joining Wagner from prison. "You were an offender, now you're a war hero," Prigozhin tells one man in the clip. It was the first video to depict the return of some of the thousands of convicts who joined Wagner in return for the promise of a pardon if they survived six months of the war. Reuters news agency used facial recognition software to examine this video and more than a dozen others and photographs of homecoming convict fighters, published between October 2022 and February 2023.